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Dell EMC Exam D-GAI-F-01 Topic 1 Question 4 Discussion

Actual exam question for Dell EMC's D-GAI-F-01 exam
Question #: 4
Topic #: 1
[All D-GAI-F-01 Questions]

You are developing a new Al model that involves two neural networks working together in a competitive setting to generate new data.

What is this model called?

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Suggested Answer: B

Generative Adversarial Networks (GANs) are a class of artificial intelligence models that involve two neural networks, the generator and the discriminator, which work together in a competitive setting. The generator network generates new data instances, while the discriminator network evaluates them. The goal of the generator is to produce data that is indistinguishable from real data, and the discriminator's goal is to correctly classify real and generated data. This competitive process leads to the generation of new, high-quality data1.

Feedforward Neural Networks (Option OA) are basic neural networks where connections between the nodes do not form a cycle and are not inherently competitive. Transformers (Option OC) are models that use self-attention mechanisms to process sequences of data, such as natural language, for tasks like translation and text summarization. Variational Autoencoders (VAEs) (Option OD) are a type of neural network that uses probabilistic encoders and decoders for generating new data instances but do not involve a competitive setting between two networks. Therefore, the correct answer is B. Generative Adversarial Networks (GANs), as they are defined by the competitive interaction between the generator and discriminator networks2.


by Elmer at Aug 07, 2024, 07:54 AM

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Annmarie
12 months ago
VAEs are used for generating new data, but in a different way than GANs. GANs involve two networks competing against each other.
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Jesusa
12 months ago
Haha, this question is a real brain-teaser! I'm going to have to go with B on this one. GANs just have that certain je ne sais quoi, don't they? Competitive AI models are the future, I tell ya!
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Angelyn
11 months ago
I'm excited to see how this technology develops in the future. It's definitely a game-changer.
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Carman
11 months ago
Definitely! The competition between the two networks really pushes them to create amazing new data.
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Val
11 months ago
I agree, GANs are really fascinating. They have so much potential!
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Jamey
11 months ago
Absolutely! The way they can generate new data by working against each other is truly innovative.
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Charlette
11 months ago
I agree, GANs are really fascinating. The competition between the two networks is what makes them so powerful.
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Dahlia
12 months ago
I'm not sure, but I think it might be D) Variational Autoencoders (VAEs). They also generate new data, right?
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Charlette
1 years ago
I think it's B too. GANs are specifically designed for generating new data.
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Annmarie
1 years ago
B) Generative Adversarial Networks (GANs)
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Helaine
1 years ago
I was studying this just the other day! B is the correct answer - Generative Adversarial Networks. They're like AI tag-team champions, with one network trying to fool the other. Gotta love a little healthy competition in the world of AI!
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Leatha
11 months ago
It's incredible how GANs can push each other to improve and generate high-quality data. The concept of competition in AI is truly groundbreaking.
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Teri
12 months ago
I find it amazing how GANs can create realistic images and data by working together in a competitive manner.
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Dortha
1 years ago
I agree, GANs are so fascinating! The way they compete to generate new data is really innovative.
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Jade
1 years ago
Hmm, I'm pretty sure it's B as well. GANs have been making a lot of waves in the AI community lately, especially with their ability to generate highly realistic images and other data.
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Cammy
1 years ago
Definitely B - Generative Adversarial Networks (GANs)! I remember learning about how they work, with one network generating data and the other trying to identify it as real or fake. Fascinating stuff!
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Nathan
12 months ago
Absolutely, GANs have revolutionized the field of artificial intelligence and have so many potential applications.
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Shaquana
12 months ago
I find the concept of GANs truly fascinating. The way they can learn to generate new data is quite impressive.
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Alba
12 months ago
I agree! It's amazing how GANs can create such high-quality images and even music.
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Eileen
1 years ago
Yes, GANs are really interesting. The competition between the two networks leads to the generation of very realistic data.
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